{"id":"W3126731221","doi":"","title":"Fire Science Myths: Examining Arson and Wrongful Convictions","year":2020,"lang":"en","type":"article","venue":"SFU Undergraduate Research Symposium Journal","topic":"Forensic Fingerprint Detection Methods","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arson; Mythology; Fire investigation; Speculation; Criminology; Forensic engineering; Law; Poison control; Sample (material); Crime scene; History; Engineering; Political science; Sociology; Business; Medical emergency; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.0113964,0.000162737,0.0002324798,0.0004305152,0.005763259,0.001281361,0.0006491707,0.0001143838,0.0001034532],"category_scores_gemma":[0.005096611,0.0001571347,0.00006911399,0.002441141,0.003876711,0.0009898036,0.0002853683,0.001633581,0.00007589785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005164365,"about_ca_system_score_gemma":0.001672011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003160181,"about_ca_topic_score_gemma":0.00009730591,"domain_scores_codex":[0.9938463,0.001686281,0.000377097,0.0005283667,0.002401391,0.001160591],"domain_scores_gemma":[0.9964924,0.0009683099,0.0001423995,0.0002109239,0.0009089788,0.001277008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000421016,0.0002861082,0.01301395,0.0002240867,0.0002878823,0.0006087508,0.1372735,0.0008458396,0.3446176,0.1974295,0.03311656,0.2718753],"study_design_scores_gemma":[0.004461523,0.005106501,0.009281883,0.001173547,0.0001681372,0.001617305,0.1970499,0.03199738,0.02643646,0.1286503,0.591149,0.002908122],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.351295,0.0009887537,0.01107362,0.5039987,0.002499949,0.0009451677,0.000009344035,0.0004133049,0.1287761],"genre_scores_gemma":[0.9891937,0.003167905,0.005467438,0.0002817366,0.001021569,0.00001018538,3.566118e-7,0.0000254253,0.0008316263],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6378987,"threshold_uncertainty_score":0.9997554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1649801466875959,"score_gpt":0.4393443260269644,"score_spread":0.2743641793393685,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}